Internship / Thesis Database for Validated Measurement Data

Company: CLAAS Selbstfahrende Erntemaschinen GmbH Location: Harsewinkel Start date: Ongoing Hierarchy level: Students Functional area: Research & Development On 400,000 m², CLAAS Selbstfahrende Erntemaschinen develops, tests and manufactures combine harvesters, forage harvesters and system tractors at the main plant in Harsewinkel. With more than 2,000 colleagues, we are the largest company in the CLAAS Group and take on cross-company and cross-country tasks in production, research and development as well as in numerous commercial areas.

• Participate in the conception and implementation of a tool landscape for automated measurement data processing, validation, analysis and storage
• Determine cross-departmental requirements and create a specification sheet
• Develop algorithms for automated validation, evaluation and visualization of complex physical measurement data
• Design a database that enables high-performance mass data analysis
• Support the development of further functional modules of the tool chain

• Ongoing studies in the field of mechatronics, vehicle engineering, mechanical engineering (informatics) or a comparable degree program
• Basic knowledge and initial experience in database programming are required and advantageous
• Initial knowledge in the development of methods for measurement data analysis desirable
• Experience in NI DIAdem or Python desirable
• Very good German skills (C1/C2) and English skills (B2)
• Confident use of MS Office programs
• Openness, team and communication skills and independent, structured working style